Search (5 results, page 1 of 1)

0.04943224 = product of:
  0.09886448 = sum of:
    0.08056618 = weight(_text_:social in 2274) [ClassicSimilarity], result of:
      0.08056618 = score(doc=2274,freq=16.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.43614143 = fieldWeight in 2274, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.02734375 = fieldNorm(doc=2274)
    0.018298302 = product of:
      0.036596604 = sum of:
        0.036596604 = weight(_text_:aspects in 2274) [ClassicSimilarity], result of:
          0.036596604 = score(doc=2274,freq=2.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.17478286 = fieldWeight in 2274, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.02734375 = fieldNorm(doc=2274)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content. The key topics covered include: bibliometrics, webometrics and web metrics; data collection tools; evaluating impact on the web; evaluating social media impact; investigating relationships between actors; exploring traditional publications in a new environment; web metrics and the web of data; the future of web metrics and the library and information professional. The book will provide a practical introduction to web metrics for a wide range of library and information professionals, from the bibliometrician wanting to demonstrate the wider impact of a researcher's work than can be demonstrated through traditional citations databases, to the reference librarian wanting to measure how successfully they are engaging with their users on Twitter. It will be a valuable tool for anyone who wants to not only understand the impact of content, but demonstrate this impact to others within the organization and beyond.

Content

1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.

0.011509455 = product of:
  0.04603782 = sum of:
    0.04603782 = weight(_text_:social in 3137) [ClassicSimilarity], result of:
      0.04603782 = score(doc=3137,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.24922368 = fieldWeight in 3137, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=3137)
  0.25 = coord(1/4)

Abstract

"Thomson Reuters' citation indexes i.e. SCI, SSCI and AHCI are said to be "authoritative". Due to the huge influence of these databases on global academic evaluation of productivity and impact, Terje Tüür-Fröhlich decided to conduct case studies on the data quality of Social Sciences Citation Index (SSCI) records. Tüür-Fröhlich investigated articles from social science and law. The main findings: SSCI records contain tremendous amounts of "trivial errors", not only misspellings and typos as previously mentioned in bibliometrics and scientometrics literature. But Tüür-Fröhlich's research documented fatal errors which have not been mentioned in the scientometrics literature yet at all. Tüür-Fröhlich found more than 80 fatal mutations and mutilations of Pierre Bourdieu (e.g. "Atkinson" or "Pierre, B. and "Pierri, B."). SSCI even generated zombie references (phantom authors and works) by data fields' confusion - a deadly sin for a database producer - as fragments of Patent Laws were indexed as fictional author surnames/initials. Additionally, horrific OCR-errors (e.g. "nuxure" instead of "Nature" as journal title) were identified. Tüür-Fröhlich´s extensive quantitative case study of an article of the Harvard Law Review resulted in a devastating finding: only 1% of all correct references from the original article were indexed by SSCI without any mistake or error. Many scientific communication experts and database providers' believe that errors in databanks are of less importance: There are many errors, yes - but they would counterbalance each other, errors would not result in citation losses and would not bear any effect on retrieval and evaluation outcomes. Terje Tüür-Fröhlich claims the contrary: errors and inconsistencies are not evenly distributed but linked with languages biases and publication cultures."

0.011509455 = product of:
  0.04603782 = sum of:
    0.04603782 = weight(_text_:social in 3801) [ClassicSimilarity], result of:
      0.04603782 = score(doc=3801,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.24922368 = fieldWeight in 3801, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=3801)
  0.25 = coord(1/4)

Content

Frontmatter -- -- Foreword -- -- Prologue -- -- Contents -- -- Introduction -- -- Part I: Critical informetrics -- -- The Incessant Chattering of Texts -- -- Informetrics Needs a Foundation in the Theory of Science -- -- Part II: Citation theories -- -- Referencing as Cooperation or Competition -- -- Semiotics and Citations -- -- Data Citation as a Bibliometric Oxymoron -- -- Part III: Statistical theories -- -- TypeToken Theory and Bibliometrics -- -- From a Success Index to a Success Multiplier -- -- From Matthew to Hirsch: A Success-Breeds-Success Story -- -- Informations Magic Numbers: The Numerology of Information Science -- -- Part IV: Authorship theories -- -- Authors as Persons and Authors as Bundles of Words -- -- The Angle Sum Theory: Exploring the Literature on Acknowledgments in Scholarly Communication -- -- The Flesh of Science: Somatics and Semiotics -- -- Part V: Knowledge organization theories -- -- Informetric Analyses of Knowledge Organization Systems (KOSs) -- -- Information, Meaning, and Intellectual Organization in Networks of Inter-Human Communication -- -- Modeling the Structure and Dynamics of Science Using Books -- -- Part VI: Altmetric theories -- -- Webometrics and Altmetrics: Home Birth vs. Hospital Birth -- -- Scientific Revolution in Scientometrics: The Broadening of Impact from Citation to Societal -- -- Altmetrics as Traces of the Computerization of the Research Process -- -- Interpreting Altmetrics: Viewing Acts on Social Media through the Lens of Citation and Social Theories -- -- Biographical information for the editor and contributors -- -- Index

0.0065351077 = product of:
  0.026140431 = sum of:
    0.026140431 = product of:
      0.052280862 = sum of:
        0.052280862 = weight(_text_:aspects in 3384) [ClassicSimilarity], result of:
          0.052280862 = score(doc=3384,freq=2.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.2496898 = fieldWeight in 3384, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3384)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.

0.006276408 = product of:
  0.025105633 = sum of:
    0.025105633 = product of:
      0.050211266 = sum of:
        0.050211266 = weight(_text_:22 in 4654) [ClassicSimilarity], result of:
          0.050211266 = score(doc=4654,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.30952093 = fieldWeight in 4654, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=4654)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

22. 1.2017 17:12:50